• DocumentCode
    1607206
  • Title

    Elimination of leakage and ground-bounce effects in ground-penetrating radar data

  • Author

    Abrahamsson, R. ; Larsson, E.G. ; Li, J. ; Habersat, J. ; Maksymonko, G. ; Bradley, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    We address the problem of removing specular ground surface reflections and leakage/cross-talk from downward looking stepped frequency ground-penetrating radar (GPR) data. A new model for the ground-bounce and the leakage/cross-talk is introduced. An algorithm that jointly estimates these effects from collected data is presented. The algorithm has the sound foundation of a nonlinear least squares (LS) fit to the presented model. The minimization is performed in a cyclic manner where one step is a linear LS minimization and the other step is a non-linear LS minimization where the optimum can efficiently be found using, e.g., the chirp-transform algorithm. The results after applying the algorithm to measured GPR data, collected at a US army test range, are also shown
  • Keywords
    buried object detection; crosstalk; electromagnetic wave reflection; least squares approximations; military radar; minimisation; radar applications; radar imaging; radar signal processing; DILBERT algorithm; US army test range; buried landmines detection; chirp transform algorithm; downward looking stepped frequency radar; ground-bounce effects elimination; ground-penetrating radar data; leakage elimination; leakage/crosstalk; linear LS minimization; measured GPR data; nonlinear LS minimization; nonlinear least squares algorithm; specular ground surface reflections; Antenna measurements; Frequency; Ground penetrating radar; Minimization methods; Night vision; Object detection; Optical reflection; Radar cross section; Radar detection; Reflector antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
  • Print_ISBN
    0-7803-7011-2
  • Type

    conf

  • DOI
    10.1109/SSP.2001.955244
  • Filename
    955244